Maryam Gholami Doborjeh

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Using EEG Data and NeuCube for the Study of Transfer of Learning

Mojgan Fard, Maryam Gholami Doborjeh, Krassie Petrova, 2020, 2020 International Conference on Computational Science and Computational Intelligence (CSCI).

From von Neumann Architecture and Atanasoff’s ABC to Neuromorphic Computation and Kasabov’s NeuCube. Part II: Applications

Lei Zhou, Hideaki Kawano, Maryam Gholami Doborjeh, 2018 .

Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications

Maryam Gholami Doborjeh, Muhaini Othman, Jie Yang, 2016, Neural Networks.

Dynamic 3D Clustering of Spatio-Temporal Brain Data in the NeuCube Spiking Neural Network Architecture on a Case Study of fMRI Data

Maryam Gholami Doborjeh, Nikola K. Kasabov, N. Kasabov, 2015, ICONIP.

Genetic Optimization for Image Segmentation

Maryam Gholami Doborjeh, M. Doborjeh, 2012 .

EEG Comparison Between Normal and Developmental Disorder in Perception and Imitation of Facial Expressions with the NeuCube

Hideaki Kawano, Maryam Gholami Doborjeh, Nikola K. Kasabov, 2017, ICONIP.

Deep Learning of EEG Data in the NeuCube Brain-Inspired Spiking Neural Network Architecture for a Better Understanding of Depression

Maryam Gholami Doborjeh, Nikola K. Kasabov, Grace Y. Wang, 2019, ICONIP.

Personalised modelling on integrated clinical and EEG Spatio-Temporal Brain Data in the NeuCube Spiking Neural Network system

Maryam Gholami Doborjeh, Nikola K. Kasabov, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

A Spiking Neural Network Methodology and System for Learning and Comparative Analysis of EEG Data From Healthy Versus Addiction Treated Versus Addiction Not Treated Subjects

Maryam Gholami Doborjeh, Nikola K. Kasabov, Bruce Russell, 2016, IEEE Transactions on Biomedical Engineering.

Sleep Stage Classification using NeuCube on SpiNNaker: a Preliminary Study

Maryam Gholami Doborjeh, Nikola K. Kasabov, Basabdatta Sen Bhattacharya, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

EEG Pattern Recognition using Brain-Inspired Spiking Neural Networks for Modelling Human Decision Processes

Maryam Gholami Doborjeh, Nikola K. Kasabov, Zohreh Gholami Doborjeh, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Evolving, dynamic clustering of spatio/spectro-temporal data in 3D spiking neural network models and a case study on EEG data

Maryam Gholami Doborjeh, Nikola K. Kasabov, Zohreh Gholami Doborjeh, 2018, Evol. Syst..

From von Neumann Architecture and Atanasoffs ABC to Neuro-Morphic Computation and Kasabov’s NeuCube: Principles and Implementations

Maryam Gholami Doborjeh, Stefan Marks, Zohreh Gholami Doborjeh, 2018 .

Mapping, Learning, Visualization, Classification, and Understanding of fMRI Data in the NeuCube Evolving Spatiotemporal Data Machine of Spiking Neural Networks

Maryam Gholami Doborjeh, Nikola K. Kasabov, Zohreh Gholami Doborjeh, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Classification and segmentation of fMRI Spatio-Temporal Brain Data with a NeuCube evolving Spiking Neural Network model

Maryam Gholami Doborjeh, Nikola K. Kasabov, Elisa Capecci, 2014, 2014 IEEE Symposium on Evolving and Autonomous Learning Systems (EALS).

Attentional Bias Pattern Recognition in Spiking Neural Networks from Spatio-Temporal EEG Data

Maryam Gholami Doborjeh, Nikola K. Kasabov, Zohreh Gholami Doborjeh, 2018, Cognitive Computation.

Hideaki Kawano, Maryam Gholami Doborjeh, Nikola K. Kasabov, 2016, ICONIP.

Efficient Recognition of Attentional Bias Using EEG Data and the NeuCube Evolving Spatio-Temporal Data Machine

Maryam Gholami Doborjeh, Nikola K. Kasabov, Zohreh Gholami Doborjeh, 2016, ICONIP.

Prediction of tinnitus masking benefit within a case series using a spiking neural network model.

Maryam Gholami Doborjeh, Nikola Kasabov, Zohreh Gholami Doborjeh, 2020, Progress in brain research.

Emotion Recognition and Understanding Using EEG Data in A Brain-Inspired Spiking Neural Network Architecture

Maryam Gholami Doborjeh, Nikola K. Kasabov, Zohreh Gholami Doborjeh, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Deep Learning of Explainable EEG Patterns as Dynamic Spatiotemporal Clusters and Rules in a Brain-Inspired Spiking Neural Network

Maryam Gholami Doborjeh, Nikola K. Kasabov, Zohreh Gholami Doborjeh, 2021, Sensors.